“Nilekani Center at AI4Bharat” was officially launched on 28th July at IIT Madras. The launch was followed by the first workshops on Indian language technology under the AI4Bharat initiative of IIT Madras.
Bring parity with respect to English in AI technologies for Indian languages with open-source contributions in datasets, models, and applications and by enabling an innovation ecosystem”
Our Impact Axes
Open-source datasets (Samanantar) and models (IndicTrans) for neural machine translation between English and 12 Indic languages.
Open-source datasets and benchmarks (Aksharantar), models (IndicXlit), and applications for transliteration between Roman and scripts for 20+ Indic languages.
Open-source language models (IndicBERT), benchmarks (IndicGLUE), and entity recognizers (IndicNER) for 10 Indian languages.
Open-source language generation model (IndicBART) and benchmarks (IndicNLG Suite) for 10 Indian languages.
Open-source datasets (INCLUDE, SignCorpus) and models (OpenHands) for sign recognition for various 10 sign languages from around the world.
Open-source workbench for AI-assisted language work on Indian languages with initial focus on translation.
Open-source tool for AI-assisted video subtitling and translating with a focus on educational and media content.
As the primary sponsor, Nandan Nilekani has generously contributed to the formation of the "Nilekani center at AI4Bharat" with a focus on open-source language tech as a public good.
Microsoft’s Research Lab and India Development Center (IDC) have supported us with unrestricted research grants and also by allocating time from researchers to contribute towards open-source technologies.
We are also supported by EkStep Foundation with mentorship and software engineering to build and deploy open-source applications for Indian languages.
Chief AI Evangelist, EkStep and Mentor, AI4Bharat
Associate Professor at CSE Department, IIT Madras
Researcher at Microsoft Research and Adjunct Faculty at IIT Madras
Researcher at Microsoft
1-year program for recent graduates to work on cutting-edge research problems in NLP, Speech, and systems-engineering for AI.
1-semester program for current students to work on data and software engineering for language AI technologies
Long-term opportunities for experienced language translators and transcribers across Indian languages.
Long-term opportunities for front-end and back-end developers looking to contribute to building open-source applications for language technologies.
We must be second to none in the application of advanced technologies to the real problems of man and society.”
- Vikram Sarabhai